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EUR 25,49
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Aggiungi al carrelloCondizione: New. pp. 232 66 Illus.
EUR 27,44
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Aggiungi al carrelloCondizione: New. pp. 232.
Da: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
EUR 46,76
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Aggiungi al carrelloCondizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Da: ALLBOOKS1, Direk, SA, Australia
EUR 50,94
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Aggiungi al carrelloBrand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 52,25
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 53,15
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Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 51,97
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Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 52,31
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Da: Best Price, Torrance, CA, U.S.A.
EUR 48,31
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Aggiungi al carrelloCondizione: New. SUPER FAST SHIPPING.
Da: Best Price, Torrance, CA, U.S.A.
EUR 48,31
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Aggiungi al carrelloCondizione: New. SUPER FAST SHIPPING.
Da: ALLBOOKS1, Direk, SA, Australia
EUR 57,49
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Aggiungi al carrelloBrand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
Editore: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2006
ISBN 10: 3540320261 ISBN 13: 9783540320265
Lingua: Inglese
Da: Grand Eagle Retail, Mason, OH, U.S.A.
EUR 61,48
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. Experimentation is necessary - a purely theoretical approach is not reasonable. The new experimentalism, a development in the modern philosophy of science, considers that an experiment can have a life of its own. It provides a statistical methodology to learn from experiments, where the experimenter should distinguish between statistical significance and scientific meaning. This book introduces the new experimentalism in evolutionary computation, providing tools to understand algorithms and programs and their interaction with optimization problems. The book develops and applies statistical techniques to analyze and compare modern search heuristics such as evolutionary algorithms and particle swarm optimization. Treating optimization runs as experiments, the author offers methods for solving complex real-world problems that involve optimization via simulation, and he describes successful applications in engineering and industrial control projects.The book bridges the gap between theory and experiment by providing a self-contained experimental methodology and many examples, so it is suitable for practitioners and researchers and also for lecturers and students. It summarizes results from the author's consulting to industry and his experience teaching university courses and conducting tutorials at international conferences. The book will be supported online with downloads and exercises. Introduces the experimentalism in evolutionary computation, providing tools to understand algorithms and programs and their interaction with optimization problems. This book develops and applies statistical techniques to analyze and compare modern search heuristics such as evolutionary algorithms and particle swarm optimization. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Editore: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2010
ISBN 10: 3642068731 ISBN 13: 9783642068737
Lingua: Inglese
Da: Grand Eagle Retail, Mason, OH, U.S.A.
Prima edizione
EUR 61,48
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. Experimentation is necessary - a purely theoretical approach is not reasonable. The new experimentalism, a development in the modern philosophy of science, considers that an experiment can have a life of its own. It provides a statistical methodology to learn from experiments, where the experimenter should distinguish between statistical significance and scientific meaning. This book introduces the new experimentalism in evolutionary computation, providing tools to understand algorithms and programs and their interaction with optimization problems. The book develops and applies statistical techniques to analyze and compare modern search heuristics such as evolutionary algorithms and particle swarm optimization. Treating optimization runs as experiments, the author offers methods for solving complex real-world problems that involve optimization via simulation, and he describes successful applications in engineering and industrial control projects.The book bridges the gap between theory and experiment by providing a self-contained experimental methodology and many examples, so it is suitable for practitioners and researchers and also for lecturers and students. It summarizes results from the author's consulting to industry and his experience teaching university courses and conducting tutorials at international conferences. The book will be supported online with downloads and exercises. This book introduces the new experimentalism in evolutionary computation, providing tools to understand algorithms and programs and their interaction with optimization problems. It develops and applies statistical techniques to analyze and compare modern search heuristics such as evolutionary algorithms and particle swarm optimization. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 60,52
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 61,03
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 60,02
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Aggiungi al carrelloCondizione: New. In.
EUR 75,23
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Aggiungi al carrelloCondizione: New. pp. 232.
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 68,36
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Aggiungi al carrelloCondizione: New. 2010. Paperback. . . . . .
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 68,61
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Aggiungi al carrelloCondizione: New. 2006. Hardcover. . . . . .
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 66,06
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 68,13
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Aggiungi al carrelloCondizione: New.
Editore: Springer, 2006
Lingua: Inglese
Da: Antiquariat Thomas Haker GmbH & Co. KG, Berlin, Germania
Membro dell'associazione: GIAQ
EUR 9,40
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Aggiungi al carrelloHardcover. Condizione: Wie neu. 229 S., Like new. Shrink wrapped. / Wie neu. In Folie verschweißt. Sprache: Englisch Gewicht in Gramm: 610.
Da: Kennys Bookstore, Olney, MD, U.S.A.
EUR 84,53
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Aggiungi al carrelloCondizione: New. 2010. Paperback. . . . . . Books ship from the US and Ireland.
Da: Kennys Bookstore, Olney, MD, U.S.A.
EUR 84,72
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Aggiungi al carrelloCondizione: New. 2006. Hardcover. . . . . . Books ship from the US and Ireland.
Da: Revaluation Books, Exeter, Regno Unito
EUR 77,00
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Aggiungi al carrelloPaperback. Condizione: Brand New. 228 pages. 9.00x6.00x0.52 inches. In Stock.
Da: BennettBooksLtd, San Diego, NV, U.S.A.
EUR 108,51
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Aggiungi al carrellohardcover. Condizione: New. In shrink wrap. Looks like an interesting title!
Editore: Springer Berlin Heidelberg, Springer Berlin Heidelberg Mär 2006, 2006
ISBN 10: 3540320261 ISBN 13: 9783540320265
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 53,49
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Aggiungi al carrelloBuch. Condizione: Neu. Neuware -Experimentation is necessary - a purely theoretical approach is not reasonable. The new experimentalism, a development in the modern philosophy of science, considers that an experiment can have a life of its own. It provides a statistical methodology to learn from experiments, where the experimenter should distinguish between statistical significance and scientific meaning.This book introduces the new experimentalism in evolutionary computation, providing tools to understand algorithms and programs and their interaction with optimization problems. The book develops and applies statistical techniques to analyze and compare modern search heuristics such as evolutionary algorithms and particle swarm optimization. Treating optimization runs as experiments, the author offers methods for solving complex real-world problems that involve optimization via simulation, and he describes successful applications in engineering and industrial control projects.The book bridges the gap between theory and experiment by providing a self-contained experimental methodology and many examples, so it is suitable for practitioners and researchers and also for lecturers and students. It summarizes results from the author's consulting to industry and his experience teaching university courses and conducting tutorials at international conferences. The book will be supported online with downloads and exercises.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 232 pp. Englisch.
Editore: Springer Berlin Heidelberg, Springer Berlin Heidelberg Nov 2010, 2010
ISBN 10: 3642068731 ISBN 13: 9783642068737
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 53,49
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -Experimentation is necessary - a purely theoretical approach is not reasonable. The new experimentalism, a development in the modern philosophy of science, considers that an experiment can have a life of its own. It provides a statistical methodology to learn from experiments, where the experimenter should distinguish between statistical significance and scientific meaning.This book introduces the new experimentalism in evolutionary computation, providing tools to understand algorithms and programs and their interaction with optimization problems. The book develops and applies statistical techniques to analyze and compare modern search heuristics such as evolutionary algorithms and particle swarm optimization. Treating optimization runs as experiments, the author offers methods for solving complex real-world problems that involve optimization via simulation, and he describes successful applications in engineering and industrial control projects.The book bridges the gap between theory and experiment by providing a self-contained experimental methodology and many examples, so it is suitable for practitioners and researchers and also for lecturers and students. It summarizes results from the author's consulting to industry and his experience teaching university courses and conducting tutorials at international conferences. The book will be supported online with downloads and exercises.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 232 pp. Englisch.
Editore: Springer Berlin Heidelberg, 2010
ISBN 10: 3642068731 ISBN 13: 9783642068737
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 53,49
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Experimentation is necessary - a purely theoretical approach is not reasonable. The new experimentalism, a development in the modern philosophy of science, considers that an experiment can have a life of its own. It provides a statistical methodology to learn from experiments, where the experimenter should distinguish between statistical significance and scientific meaning. This book introduces the new experimentalism in evolutionary computation, providing tools to understand algorithms and programs and their interaction with optimization problems. The book develops and applies statistical techniques to analyze and compare modern search heuristics such as evolutionary algorithms and particle swarm optimization. Treating optimization runs as experiments, the author offers methods for solving complex real-world problems that involve optimization via simulation, and he describes successful applications in engineering and industrial control projects.The book bridges the gap between theory and experiment by providing a self-contained experimental methodology and many examples, so it is suitable for practitioners and researchers and also for lecturers and students. It summarizes results from the author's consulting to industry and his experience teaching university courses and conducting tutorials at international conferences. The book will be supported online with downloads and exercises.